6 Weeks Internship Artificial Intelligence & Machine Learning

Industrial Summer Training program driven by Industry experts via Online & Offline mode. Program is equipped with project-oriented training with live project, assignments & assessments (Offline Training Location – Noida Sector 63)

Become a Machine Learning expert and learn how to build and deploy industry curated projects like Optical Character Recognition, Face Detection and Facial Feature Detection, Object Detection, Object Tracking and many more.


The field of AI & ML is projected to experience significant growth in the coming years, with the machine learning market expected to increase at a CAGR of 43% from $7.3 billion in 2020 to $30.6 billion in 2024. Similarly, the artificial intelligence market is anticipated to reach a worth of 191 billion US dollars in 2024, growing at a CAGR of 37%, as per MarketWatch. Our programs in AI & Machine Learning cover a broad range of topics and can help individuals and organizations prepare for the impending digital disruption. Get ready to unleash the potential of AI & Machine Learning with us.


Course Content

  1. Introduction to AI & ML
  2. Introduction to Python
  3. Getting around Anaconda and Jupyter Notebook
  4. Python Basics
    – Data Types
    – Conditional Statements, Loops and Control Statements
    – Functions
    – Lambda Functions and other built-in functions
    – File Handling
  5. NumPy
    NumPy Basics
    – Operations
    – Indexing, Slicing and Copies
  6. Pandas
    – Series
    – DataFrames
    – Fix Missing Data
    – GroupBy
    – Merge
    – Operations
    – File Reading and Writing
  7. Data Visualization Techniques
    – Matplotlib
    – Pandas built-in visualization
    – Seaborn
  8. Machine Learning (Theory and Application)
    – Machine Learning with Python
    – Supervised- Linear Regression
    – Supervised- Logistic Regression
    – Supervised- Decision Tree
    – Supervised- Support Vector Machine
    – Supervised– K-Nearest Neighbours
    – Unsupervised– K-Means Clustering
     Unsupervised– Association Rule Learning and Apriori
  9. Image Processing
    – Drawing Functions
    – Basic Operations
    – Arithmetic Operations, Blending and Transition
    – Colour Spaces, Histograms, and Thresholding
    – Bitwise Operations and Masking
  10. Computer Vision
    Object Tracking
    – Optical Character Recognition
    – Face Detection
    – Facial Feature Detection
    – Car Detection and Tracking
  11. Assignments

Additional information

Course Type

Online, Offline

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